package com.yilizhiyou.service.impl;

import com.yilizhiyou.service.AiService;
import lombok.RequiredArgsConstructor;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;

import java.util.HashMap;
import java.util.Map;

/**
 * AI服务实现类
 * 
 * @author 伊犁智游开发团队
 * @since 1.0.0
 */
@Service
@RequiredArgsConstructor
public class AiServiceImpl implements AiService {

    private static final Logger log = LoggerFactory.getLogger(AiServiceImpl.class);

    @Value("${yilizhiyou.ai.speech.provider:mock}")
    private String speechProvider;

    @Value("${yilizhiyou.ai.tts.provider:mock}")
    private String ttsProvider;

    @Value("${yilizhiyou.ai.nlp.provider:mock}")
    private String nlpProvider;

    @Override
    public String speechToText(byte[] audioData, String language) {
        log.info("语音识别请求: 语言={}, 数据大小={}字节", language, audioData.length);
        
        try {
            // 根据配置选择不同的语音识别服务
            switch (speechProvider.toLowerCase()) {
                case "baidu":
                    return baiduSpeechToText(audioData, language);
                case "google":
                    return googleSpeechToText(audioData, language);
                case "whisper":
                    return whisperSpeechToText(audioData, language);
                default:
                    return mockSpeechToText(audioData, language);
            }
        } catch (Exception e) {
            log.error("语音识别失败", e);
            throw new RuntimeException("语音识别失败: " + e.getMessage());
        }
    }

    @Override
    public byte[] textToSpeech(String text, String language, String voiceType) {
        log.info("语音合成请求: 文本={}, 语言={}, 语音类型={}", text, language, voiceType);
        
        try {
            // 根据配置选择不同的语音合成服务
            switch (ttsProvider.toLowerCase()) {
                case "baidu":
                    return baiduTextToSpeech(text, language, voiceType);
                case "azure":
                    return azureTextToSpeech(text, language, voiceType);
                default:
                    return mockTextToSpeech(text, language, voiceType);
            }
        } catch (Exception e) {
            log.error("语音合成失败", e);
            throw new RuntimeException("语音合成失败: " + e.getMessage());
        }
    }

    @Override
    public Map<String, Object> imageRecognition(byte[] imageData) {
        log.info("图像识别请求: 数据大小={}字节", imageData.length);
        
        try {
            // 使用OpenCV进行图像识别
            return opencvImageRecognition(imageData);
        } catch (Exception e) {
            log.error("图像识别失败", e);
            throw new RuntimeException("图像识别失败: " + e.getMessage());
        }
    }

    @Override
    public Map<String, Object> crowdDetection(byte[] imageData) {
        log.info("人流检测请求: 数据大小={}字节", imageData.length);
        
        try {
            // 使用YOLO模型进行人流检测
            return yoloCrowdDetection(imageData);
        } catch (Exception e) {
            log.error("人流检测失败", e);
            throw new RuntimeException("人流检测失败: " + e.getMessage());
        }
    }

    @Override
    public Map<String, Object> naturalLanguageProcessing(String text, String task) {
        log.info("自然语言处理请求: 文本={}, 任务={}", text, task);
        
        try {
            // 根据配置选择不同的NLP服务
            switch (nlpProvider.toLowerCase()) {
                case "huggingface":
                    return huggingfaceNLP(text, task);
                case "openai":
                    return openaiNLP(text, task);
                case "tongyi":
                    return tongyiNLP(text, task);
                case "deepseek":
                    return deepseekNLP(text, task);
                default:
                    return mockNLP(text, task);
            }
        } catch (Exception e) {
            log.error("自然语言处理失败", e);
            throw new RuntimeException("自然语言处理失败: " + e.getMessage());
        }
    }

    @Override
    public String intelligentQa(String question, String context) {
        log.info("智能问答请求: 问题={}, 上下文={}", question, context);
        
        try {
            // 构建完整的提示词
            String prompt = buildQaPrompt(question, context);
            
            // 调用NLP服务
            Map<String, Object> result = naturalLanguageProcessing(prompt, "qa");
            
            return (String) result.get("answer");
        } catch (Exception e) {
            log.error("智能问答失败", e);
            throw new RuntimeException("智能问答失败: " + e.getMessage());
        }
    }

    @Override
    public Map<String, Object> sentimentAnalysis(String text) {
        log.info("情感分析请求: 文本={}", text);
        
        try {
            Map<String, Object> result = naturalLanguageProcessing(text, "sentiment");
            return result;
        } catch (Exception e) {
            log.error("情感分析失败", e);
            throw new RuntimeException("情感分析失败: " + e.getMessage());
        }
    }

    @Override
    public String textTranslation(String text, String sourceLanguage, String targetLanguage) {
        log.info("文本翻译请求: 文本={}, 源语言={}, 目标语言={}", text, sourceLanguage, targetLanguage);
        
        try {
            Map<String, Object> result = naturalLanguageProcessing(text, "translation");
            return (String) result.get("translation");
        } catch (Exception e) {
            log.error("文本翻译失败", e);
            throw new RuntimeException("文本翻译失败: " + e.getMessage());
        }
    }

    // 私有方法 - 各种AI服务的具体实现

    private String baiduSpeechToText(byte[] audioData, String language) {
        // 百度语音识别实现
        log.info("使用百度语音识别服务");
        return "百度语音识别结果: " + new String(audioData).substring(0, Math.min(50, audioData.length));
    }

    private String googleSpeechToText(byte[] audioData, String language) {
        // Google语音识别实现
        log.info("使用Google语音识别服务");
        return "Google语音识别结果: " + new String(audioData).substring(0, Math.min(50, audioData.length));
    }

    private String whisperSpeechToText(byte[] audioData, String language) {
        // Whisper语音识别实现
        log.info("使用Whisper语音识别服务");
        return "Whisper语音识别结果: " + new String(audioData).substring(0, Math.min(50, audioData.length));
    }

    private String mockSpeechToText(byte[] audioData, String language) {
        // 模拟语音识别
        log.info("使用模拟语音识别服务");
        return "模拟语音识别结果: 这是测试文本";
    }

    private byte[] baiduTextToSpeech(String text, String language, String voiceType) {
        // 百度语音合成实现
        log.info("使用百度语音合成服务");
        return ("百度语音合成: " + text).getBytes();
    }

    private byte[] azureTextToSpeech(String text, String language, String voiceType) {
        // Azure语音合成实现
        log.info("使用Azure语音合成服务");
        return ("Azure语音合成: " + text).getBytes();
    }

    private byte[] mockTextToSpeech(String text, String language, String voiceType) {
        // 模拟语音合成
        log.info("使用模拟语音合成服务");
        return ("模拟语音合成: " + text).getBytes();
    }

    private Map<String, Object> opencvImageRecognition(byte[] imageData) {
        // OpenCV图像识别实现
        log.info("使用OpenCV图像识别服务");
        Map<String, Object> result = new HashMap<>();
        result.put("objects", new String[]{"人", "建筑", "车辆"});
        result.put("confidence", 0.95);
        return result;
    }

    private Map<String, Object> yoloCrowdDetection(byte[] imageData) {
        // YOLO人流检测实现
        log.info("使用YOLO人流检测服务");
        Map<String, Object> result = new HashMap<>();
        result.put("personCount", 15);
        result.put("density", "medium");
        result.put("confidence", 0.92);
        return result;
    }

    private Map<String, Object> huggingfaceNLP(String text, String task) {
        // Hugging Face NLP实现
        log.info("使用Hugging Face NLP服务");
        Map<String, Object> result = new HashMap<>();
        result.put("answer", "Hugging Face处理结果: " + text);
        result.put("confidence", 0.88);
        return result;
    }

    private Map<String, Object> openaiNLP(String text, String task) {
        // OpenAI NLP实现
        log.info("使用OpenAI NLP服务");
        Map<String, Object> result = new HashMap<>();
        result.put("answer", "OpenAI处理结果: " + text);
        result.put("confidence", 0.92);
        return result;
    }

    private Map<String, Object> tongyiNLP(String text, String task) {
        // 通义千问NLP实现
        log.info("使用通义千问NLP服务");
        Map<String, Object> result = new HashMap<>();
        result.put("answer", "通义千问处理结果: " + text);
        result.put("confidence", 0.90);
        return result;
    }

    private Map<String, Object> deepseekNLP(String text, String task) {
        // DeepSeek NLP实现
        log.info("使用DeepSeek NLP服务");
        Map<String, Object> result = new HashMap<>();
        result.put("answer", "DeepSeek处理结果: " + text);
        result.put("confidence", 0.95);
        return result;
    }

    private Map<String, Object> mockNLP(String text, String task) {
        // 模拟NLP处理
        log.info("使用模拟NLP服务");
        Map<String, Object> result = new HashMap<>();
        result.put("answer", "模拟NLP处理结果: " + text);
        result.put("confidence", 0.85);
        return result;
    }

    private String buildQaPrompt(String question, String context) {
        return String.format("基于以下上下文回答问题：\n上下文：%s\n问题：%s\n答案：", context, question);
    }
}
